0.5×← Perlahan · Cepat →
💬Tekan Play Demo untuk lihat Lecturer Journal Display Agent.
Demo Complete — All Stages Generated
01 WhatsApp Command
02 Requirement Analysis
Menunggu Sedang aktif Selesai
03 Python Script Generation
1
📥
Ambil data jurnalDari repositori institusi
2
📊
Kira metrikCitaton, impact factor, status
3
🔍
Analisis kualitiGabungan stats dan trend
📄
Paparkan laporanDashboard + format export
import requests, json
JOURNAL_API = "https://api.university.edu/v1/journals"
def fetch_journal_data(lecturer_id):
resp = requests.get(JOURNAL_API, params={"lecturer": lecturer_id})
return resp.json().get("publications", [])
def analyze_metrics(journals):
total_citations = sum(j["citations"] for j in journals)
avg_if = sum(j["factor"] for j in journals) / len(journals)
published = len([j for j in journals if j["status"] == "Published"])
return {"total_citations": total_citations, "avg_impact": avg_if, "published": published}
report = analyze_metrics(fetch_journal_data("LEC001"))
print(json.dumps(report))
04 Block Diagram
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05 System Schematic
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⚠️ Verify journal information with institutional repository before publishing.
06 Simulasi Analisis Jurnal
Mula Analisis
AI Compliance Study453.2Published
ERP Performance1284.1Indexed
LLM Ethics232.8Accepted
NeuralOps Case671.9Under Review
Summary2632.754 papers
Terminal Log
[SISTEM] Lecturer Journal Display Agent sedia
System Architecture
🤖 Agent Layer
Journal fetcher
Metrics calc
Impact analyzer
LLM renderer
🎓 Education Layer
Institutional API
Repository
Research DB
Metrics export
Safety Notes
- Verify journal information with institutional repository before publishing.
- Configure role-based access for research dashboards.
- Validate citation counts against Scopus/Web of Science.
- Browser demo does not connect to real APIs.